Data Analyst
Core
Analyze player behavior across the full funnel, design and interpret A/B tests, build cohort-based analyses, and develop self-service dashboards to support product and investment decisions in iGaming.
Role type
Product/Data Analyst (iGaming)
Builds
Actionable product recommendations, validated metric trees, self-service dashboards, and data quality tracking implementations.
Domain
iGaming / Entertainment
Deliverable
dashboards & analysis
Required skills
SQL (window functions, CTEs), web analytics platforms (GA4, Amplitude, Mixpanel), Google Tag Manager, statistics (hypothesis testing, confidence intervals), funnel analysis, cohort analysis, LTV and retention modeling, BI tools (Tableau), attribution models
Preferred skills
Python or R (pandas, curve fitting, survival analysis), iGaming or high-frequency B2C domain experience
Technologies
Tableau, Google Tag Manager, Athena, GA4, Amplitude, Mixpanel
Responsibilities
Analyze player behavior across registration, deposit, retention, and churn funnels; Design, run, and interpret A/B tests and quasi-experiments; Build and maintain cohort-based analyses (LTV, retention curves, payback); Define, validate, and monitor product KPIs and metric trees; Develop self-service dashboards and data sources; Investigate anomalies in key metrics and communicate root causes; Own web analytics implementation and data quality (tracking plans, event taxonomy, tag management)
Seniority
Mid-level, hands-on IC
